79 lines
2.7 KiB
Python
79 lines
2.7 KiB
Python
import psycopg2
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conn = psycopg2.connect(
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host="192.168.0.61",
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port=55432,
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database="njts_acct",
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user="njts_app",
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password="njts_app2025"
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)
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cur = conn.cursor()
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print("=" * 120)
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print("【分析】通过复制创建的重复数据识别")
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print("=" * 120)
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# 查询所有"遠達ビル 事務所費用"的记录，按月份分组
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cur.execute("""
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SELECT
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EXTRACT(YEAR FROM je.entry_date)::int as year,
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EXTRACT(MONTH FROM je.entry_date)::int as month,
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COUNT(*) as cnt,
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STRING_AGG(je.journal_entry_id::text, ', ' ORDER BY je.journal_entry_id) as ids
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FROM journal_entries je
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WHERE je.description LIKE '%遠達ビル 事務所費用%'
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AND je.is_deleted = false
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GROUP BY year, month
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ORDER BY year, month
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""")
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results = cur.fetchall()
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print("\n【遠達ビル 事務所費用】6月～8月の件数（未削除）")
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for year, month, cnt, ids in results:
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print(f" {year}年{month}月: {cnt}件（IDs: {ids}）")
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# 现在查询每个月份最多的金额组合（这应该是预期的、正确的记录）
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print("\n【分析】6月～8月各月の仕訳明細")
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for month in [6, 7, 8]:
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print(f"\n--- {month}月 ---")
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cur.execute("""
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SELECT
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je.journal_entry_id,
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je.description,
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je.is_latest,
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je.is_deleted,
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COALESCE(SUM(jl.debit), 0) as debit_total,
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COALESCE(SUM(jl.credit), 0) as credit_total
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FROM journal_entries je
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LEFT JOIN journal_lines jl ON je.journal_entry_id = jl.journal_entry_id
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WHERE EXTRACT(MONTH FROM je.entry_date) = %s
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AND EXTRACT(YEAR FROM je.entry_date) = 2025
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AND je.description LIKE '%%遠達ビル 事務所費用%%'
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AND je.is_deleted = false
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GROUP BY je.journal_entry_id, je.description, je.is_latest, je.is_deleted
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ORDER BY je.journal_entry_id
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""", (month,))
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month_results = cur.fetchall()
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if month_results:
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for row in month_results:
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entry_id, description, is_latest, is_deleted, debit, credit = row
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latest_mark = "✓" if is_latest else "✗"
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print(f" ID={entry_id} [{latest_mark}] | 借={debit:>10,.0f} 貸={credit:>10,.0f} | {description}")
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else:
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print(" 該当データなし")
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print("\n" + "=" * 120)
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print("【推奨】删除对象")
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print("=" * 120)
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print("遠達ビル 事務所費用の重复数据：")
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print(" - 原则上，每月应该只有1笔合法的仕訳")
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print(" - 如果某月有多笔，除了最新的（is_latest=true）外，其他都应该删除")
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print(" - 或者由用户确认哪些是通过复制创建的不需要的数据")
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cur.close()
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conn.close()
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